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Learn how to streamline machine learning development through Continuous Integration/Continuous Deployment principles in this 50-minute webinar. Discover the power of Julia's Pkg ecosystem integrated with Buildkite, GitHub, and MLflow for efficient model iteration and tracking. Explore JuliaSim's Mass Experimentation Workflow for enhanced model validation, reliability, and production scaling. Master test-driven development approaches that ensure model reliability while implementing reproducible ML processes. Gain practical insights into integrating CI/CD with machine learning workflows, leveraging the Julia ecosystem for scalable development, and establishing transparent experimentation processes. Perfect for data scientists, ML engineers, and MLOps practitioners seeking to build production-ready models with robust validation and deployment pipelines.
